Yes, if the catalog is on WordPress. SleekAI reads each course as a post or custom post type field, with prerequisites, level, and department as named variables. AP Statistics, AP Chemistry, IB HL Biology, IB Theatre, AP Studio Art, all answered with the right prerequisite and sequencing context. For schools that publish course descriptions with full syllabi, the bot can pull those into context via OpenAI Files for vector retrieval, so even multi-page course descriptions search accurately.

Yes. The bot reads the most recent posted matriculation page and answers in the school's own framing. It won't promise that a specific applicant gets into a specific school, which is the right boundary. For families asking 'do students get into Stanford?', the bot quotes the published list and the published number of acceptances over the most recent 3 years, then routes specific application-strategy questions to the counseling office.

By webhook or email per sport. The bot collects parent contact and the sport of interest, then either fires a webhook to your athletic-director's intake system or sends an email with the relevant coach in CC. The bot can explain divisions (NEPSAC, ISAL, MIAA), tryout windows, and varsity-versus-JV structure from your published athletics page, but never makes a roster commitment, which is the coach's call.

Yes. Counselor-to-student ratio, meeting cadence (often 6 to 10 meetings junior year), application-essay support timing, and the school-list philosophy all come from your published counseling page. The bot can also explain the relationship between the counseling office and your AP / IB testing logistics, which often gets confused in initial enquiries because the same office sometimes coordinates both.

Yes, hard-coded in the system prompt. The bot never makes admissions decisions, never promises specific aid amounts, and never speculates on the strength of a particular applicant. Anything student-specific routes to the admissions director by email. The presets and guideline filter on the chatbot config keep the conversation inside the catalog, counseling, and tour scope you've defined.

Yes. Any language the underlying model supports. Spanish, Mandarin, Korean, French, German, Arabic, Portuguese, and 50+ others all work natively. The bot reads your English source pages and answers in the family's language, which matters for boarding-eligible day schools and any school in a market with significant international applicant volume. WPML and Polylang sites can also pull from per-locale content for localised URLs.

FERPA applies to education records the school maintains. The bot answers from your published WordPress pages and does not generate records. Conversation logs live in your WordPress database with the security you've configured, and many schools set short retention windows (30 to 90 days) on chatbot logs. Bring-your-own-key sends prompts directly to OpenAI, Anthropic, Google, or OpenRouter with no third-party processor between you and the model.

Yes. Multibot lets you run a counseling-focused bot on the college-counseling page with its own system prompt, an athletics-focused bot on the athletics pages routing to the AD, and a general admissions bot on the rest of the site. Display conditions match URL pattern, post type, page parent, or user role, so each bot stays focused on what its section actually answers.